Triple
T15568409
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Óbidos |
E374175
|
entity |
| Predicate | locatedNear |
P294
|
FINISHED |
| Object | Peniche |
E378285
|
NE FINISHED |
How this triple was built (2 steps)
Every LLM step that produced this triple, in pipeline order — named-entity classification, the disambiguation choices (the exact options shown, with the pick highlighted), and the generated description. The batch + timestamp of each is in the Provenance table below.
NER
Named-entity recognition
gpt-5-mini
Instruction
Given a phrase, classify it is english named entity (e.g., persons, organizations, works of art) in Latin script, or not (e.g., literals, dates, URLs, verbose phrases). For disambiguation, the statement where the phrase occurs as object is also given. Please return a JSON object with `phrase` (string, the phrase being analyzed) and `is_ne` (boolean, indicating whether the phrase is a Named Entity).
Input
Phrase: Peniche | Statement: [Óbidos, locatedNear, Peniche]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Peniche Context triple: [Óbidos, locatedNear, Peniche]
-
A.
Peniche
chosen
Peniche is a coastal Portuguese city renowned for its fishing harbor, historic fortifications, and world-class surfing beaches like Supertubos.
-
B.
Figueira da Foz
Figueira da Foz is a coastal Portuguese city at the mouth of the Mondego River, known for its wide sandy beaches and seaside tourism.
-
C.
Almada
Almada is a Portuguese city located on the south bank of the Tagus River, opposite Lisbon, known for its panoramic views of the capital and its prominent Cristo Rei statue.
-
D.
Porto de Mós
Porto de Mós is a Portuguese town and municipality known for its hilltop castle and location near the limestone landscapes and caves of central Portugal.
-
E.
Figueira da Horta
Figueira da Horta is a small village located on the island of Maio in Cape Verde.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
Provenance (3 batches)
The batch behind each pipeline step, in order, with when it ran. Timestamps are batch-level — stages were processed in waves, so the object chain (NER → NED1 → NEDg → NED2) reads in order, but predicate / elicitation batches can sit in a different wave.
| Step | Stage | Batch ID | Status | When |
|---|---|---|---|---|
| creating | Elicitation | batch_69d85ccd575081908909b71a3f3e3a61 |
completed | April 10, 2026, 2:13 a.m. |
| NER | Named-entity recognition | batch_69e04dde90b081908284d9258d4462e3 |
completed | April 16, 2026, 2:47 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a0067948b308190a434cdf1d45ebef4 |
completed | May 10, 2026, 11:10 a.m. |
Created at: April 10, 2026, 4:10 a.m.